Data Engineer

Working at FORE

FORE is unlocking dormant operational data with advanced AI to diagnose operational challenges and support better performance. With the close advisory from leading academic experts in Information and Operational Theory, we enable leaders across Tech, Healthcare, Private Equity, and Enterprise to understand the drivers of inefficiencies and how they can improve.

At FORE, you'll join a forward-thinking team that values innovation, efficiency, and adaptability. This role is an exceptional opportunity for someone seeking a challenging, autonomous position with significant impact. As a remote-first startup, we offer the flexibility to work from anywhere, fostering a culture of trust, collaboration and responsibility. With us, you'll have the chance to grow professionally while contributing to a company that's on the cutting edge of technology and service. FORE is institutionally backed, with investor-provided offices in Los Angeles, CA, equipped with a free cafeteria and gym for employee use.

Role Summary

As a Data Engineer at our company, your core responsibilities will involve developing and maintaining efficient data pipelines, cleaning and processing diverse data sets, and collaborating closely with the lead engineer and CTO to integrate predictive analytics. You'll have the opportunity to work in a dynamic team environment, utilizing your proficiency in Python and data-related libraries to ensure data integrity and contribute to innovative client-specific projects. If you're a motivated professional with a passion for data and problem-solving, we encourage you to apply for this role.

Responsibilities

• Develop and maintain efficient data pipelines.
• Clean and process diverse data sets, including client internal data and data from external providers.
• Address data challenges such as data inconsistency, quality issues, and complex transformations in an environment supportive of learning.
• Collaborate with the lead engineer and CTO to gain an understanding of pipeline structure and data processing requirements.
• Work autonomously and collaboratively to integrate predictive analytics into pipelines.
• Prepare and format data for reporting purposes.
• Utilize GCP services such as Cloud Storage, Compute Engine, and potentially others, with foundational understanding provided.
• Develop comprehensive testing strategies to ensure data integrity and pipeline functionality.

Required Qualifications

• Bachelor’s degree in Computer Science or related field.
• 1-3 years of relevant experience.
• Proficiency in Python and its data-related libraries (primarily Pandas, also NumPy, SciPy).
• Version control using Git.
• Strong attention to processing integrity and accuracy.
• Excellent communication skills.
• Effective problem-solving abilities.
• Demonstrated ability to work independently and collaboratively.
• High attention to detail, particularly with data security best practices.

Preferred Skills

• Intuition for structuring codebases and creating modular, expandable functions.
• Basic understanding of common machine learning models and assessing the impact of data processing on these models.
• Familiarity with Google Cloud Platform and containerization technologies like Docker/Kubernetes.

Optional Opportunity for Involvement in Data Science Initiatives

If you have an interest in contributing ideas for data analysis, model selection, visualization, and innovative uses of data, leveraging your close work with the data to enhance broader team projects, there’s an opportunity for involvement in our data science initiatives.

Compensation + Location

Based on qualifications, the salary for this position ranges from $90,000 to $120,000, with equity included. While this role is remote, our team operates on Pacific Time and meets regularly in Los Angeles, CA. For those within a certain distance, travel expenses to company meetings in Los Angeles are covered by our company.

Application + Timeline

Upon submission of your application, we will review it and schedule an introductory call if appropriate. The selection process includes a technical assessment before a final interview. We are looking for a talented Data Engineer who is ready to join our team immediately.